Senior Data Engineer

il y a 4 semaines


Grenoble, Auvergne-Rhône-Alpes, France Verkor Temps plein
About this role

We are seeking a highly skilled Senior Data Engineer to join our Process Innovation team at Verkor's Innovation Center in Grenoble, France.

As a Senior Data Engineer, you will be responsible for developing innovative solutions based on cutting-edge technologies and solving practical problems. Your main work will be to understand the cases and do investigations with versatile resources, then turn the solution and technology from either a lab or concept to real production with support from supervisors.

You will mainly focus on quality, efficiency, and unmanned topics to make Verkor a strong, competitive battery manufacturer.

Main responsibilities
  • 1. Identify the problem, simplify it, and summarize it into an engineering model with support from experts.
  • Recognize the problem beneath phenomena;
  • Understand causal relationship and other priori knowledge related to the scenario;
  • Breakdown problems into potential solvable tasks;
  • 2. Define requirements, and investigate potential solutions.
  • Clarify goals for each task;
  • Develop roadmap of whole solution;
  • Research available approaches and classify technical routes;
  • Analysis risks and ROI;
  • 3. Design and validate
  • Propose concepts, drawing a whole solution;
  • Provide DoE of your design;
  • Select required components and software, etc.;
  • Initiate purchase or self-develop for core functionalities;
  • Verify feasibility and offer deployable solution for production lines.
  • 4. Report and support
  • Report progress and results of the studies to other Verkor departments.
Requirements
  • Bachelor or Master's degree in Computer Science, AI, or similar discipline
  • Minimum of 5 years experience, including 3 years minimum of experience working with AI and innovation projects in an industrial company. Experience related to batteries is more preferred.
  • Experience in Agile based software development is required
  • Mandatory knowledge on SQL, MySQL databases
  • All necessary techniques for data mining is required, such as data extraction, feature engineering, etc.
  • Proficiency in machine learning techniques is required; DL&RL is a plus
  • Strong knowledge on Scikit-learn, Pandas, and familiarity with at least one DL frameworks such as PyTorch, Keras, etc.
  • R, & Matlab knowledge
  • Strong knowledge on Python, C++
  • Knowledge on time series forecasting techniques
  • Good learning skills

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